Optimizing Security and Privacy in Autonomous Systems through Intelligent Trust Management (SHAIKHR_U25SCI)
Key Details
- Application deadline
- 1 January 2025 (midnight UK time)
- Location
- UEA
- Funding type
- Competition Funded Project (Home students only)
- Start date
- 1 October 2025
- Mode of study
- Full-time
- Programme type
- PhD
Project description
Primary supervisor - Dr Riaz Ahmed Shaikh
This project will focus on developing a robust trust management scheme that enhances the security and privacy of autonomous systems, including self-driving vehicles, drones, and smart home devices. You will explore ways of integrating advanced cryptographic techniques, machine learning algorithms, and/or blockchain technology to establish a secure and trustworthy environment for autonomous operations.
The scientific objectives of the project are:
• To design a novel intelligent trust management solution that would reduce the risk of cyber-attacks, enhance privacy, and increase user confidence in autonomous systems by demonstrating their reliability and security threat resilience.
• To conduct theoretical performance and security resiliency analysis of the proposed solution.
• To implement a prototype for evaluating the efficacy of the proposed solution.
Applicants should have a good mathematical background, excellent programming skills in Python/MATLAB, and an interest in cybersecurity and machine learning.
Entry requirements
The standard minimum entry requirement is 2:1 in Computer Science or related disciplines.
Funding
This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees and an annual stipend of £19,237 (for a maximum 3 years).